
import json
import os
from typing import Dict, List, Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


__lowerCAmelCase     :	int       			=  logging.get_logger(__name__)


__lowerCAmelCase     :	Dict       			=  {
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
    'tokenizer_config_file': 'tokenizer_config.json',
}

__lowerCAmelCase     :	Union[str, Any]       			=  {
    'vocab_file': {
        'facebook/blenderbot_small-90M': 'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json'
    },
    'merges_file': {
        'facebook/blenderbot_small-90M': 'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt'
    },
    'tokenizer_config_file': {
        'facebook/blenderbot_small-90M': (
            'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json'
        )
    },
}

__lowerCAmelCase     :	List[Any]       			=  {'facebook/blenderbot_small-90M': 512}

def a__       (			A_   ):






  '''simple docstring'''





  __magic_name__								=			set()
  __magic_name__								=			word[0]
  for char in word[1:]:
    pairs.add((prev_char, char)   )
    __magic_name__								=			char

  __magic_name__								=			set(A_   )
  return pairs





class 			UpperCAmelCase_     (					_A	):


  '''simple docstring'''







  a__       			=						VOCAB_FILES_NAMES
  a__       			=						PRETRAINED_VOCAB_FILES_MAP
  a__       			=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  a__       			=						["""input_ids""", """attention_mask"""]
  def __init__(					self     :					str     ,				UpperCamelCase__     :					Any     ,				UpperCamelCase__     :					Optional[int]     ,				UpperCamelCase__     :					Tuple="__start__"     ,				UpperCamelCase__     :					Any="__end__"     ,				UpperCamelCase__     :					Dict="__unk__"     ,				UpperCamelCase__     :					List[str]="__null__"     ,				**UpperCamelCase__     :					str     ,				)     ->      Optional[Any]:







    """simple docstring"""






    super().__init__(unk_token=UpperCamelCase__     ,				bos_token=UpperCamelCase__     ,				eos_token=UpperCamelCase__     ,				pad_token=UpperCamelCase__     ,				**UpperCamelCase__       )

    with open(UpperCamelCase__     ,				encoding="""utf-8"""       ) as vocab_handle:
      __magic_name__								=			json.load(UpperCamelCase__       )
    __magic_name__								=			{v: k for k, v in self.encoder.items()}
    with open(UpperCamelCase__     ,				encoding="""utf-8"""       ) as merges_handle:
      __magic_name__								=			merges_handle.read().split("""\n"""       )[1:-1]
    __magic_name__								=			[tuple(merge.split()       ) for merge in merges]
    __magic_name__								=			dict(zip(UpperCamelCase__     ,				range(len(UpperCamelCase__       )       )       )       )
    __magic_name__								=			{}
  @property
  def 				_lowercase				(					self     :					Any       )     ->      int:







    """simple docstring"""






    return len(self.encoder       )
  def 				_lowercase				(					self     :					Tuple       )     ->      Dict:







    """simple docstring"""






    return dict(self.encoder     ,				**self.added_tokens_encoder       )
  def 				_lowercase				(					self     :					List[str]     ,				UpperCamelCase__     :					str       )     ->      str:







    """simple docstring"""






    if token in self.cache:
      return self.cache[token]
    __magic_name__								=			re.sub("""([.,!?()])"""     ,				R""" \1"""     ,				UpperCamelCase__       )
    __magic_name__								=			re.sub("""(')"""     ,				R""" \1 """     ,				UpperCamelCase__       )
    __magic_name__								=			re.sub(R"""\s{2,}"""     ,				""" """     ,				UpperCamelCase__       )
    if "\n" in token:
      __magic_name__								=			token.replace("""\n"""     ,				""" __newln__"""       )

    __magic_name__								=			token.split(""" """       )
    __magic_name__								=			[]
    for token in tokens:
      if not len(UpperCamelCase__       ):
        continue

      __magic_name__								=			token.lower()
      __magic_name__								=			tuple(UpperCamelCase__       )
      __magic_name__								=			tuple(list(word[:-1]       ) + [word[-1] + """</w>"""]       )
      __magic_name__								=			get_pairs(UpperCamelCase__       )

      if not pairs:
        words.append(UpperCamelCase__       )
        continue

      while True:
        __magic_name__								=			min(UpperCamelCase__     ,				key=lambda UpperCamelCase__       : self.bpe_ranks.get(UpperCamelCase__     ,				float("""inf"""       )       )       )
        if bigram not in self.bpe_ranks:
          break
        __magic_name__	,       __magic_name__								=			bigram
        __magic_name__								=			[]
        __magic_name__								=			0

        while i < len(UpperCamelCase__       ):
          try:
            __magic_name__								=			word.index(UpperCamelCase__     ,				UpperCamelCase__       )
            new_word.extend(word[i:j]       )
            __magic_name__								=			j
          except ValueError:
            new_word.extend(word[i:]       )
            break

          if word[i] == first and i < len(UpperCamelCase__       ) - 1 and word[i + 1] == second:
            new_word.append(first + second       )
            i += 2
          else:
            new_word.append(word[i]       )
            i += 1
        __magic_name__								=			tuple(UpperCamelCase__       )
        __magic_name__								=			new_word
        if len(UpperCamelCase__       ) == 1:
          break
        else:
          __magic_name__								=			get_pairs(UpperCamelCase__       )
      __magic_name__								=			"""@@ """.join(UpperCamelCase__       )
      __magic_name__								=			word[:-4]

      __magic_name__								=			word
      words.append(UpperCamelCase__       )
    return " ".join(UpperCamelCase__       )
  def 				_lowercase				(					self     :					Tuple     ,				UpperCamelCase__     :					str       )     ->      List[str]:







    """simple docstring"""






    __magic_name__								=			[]

    __magic_name__								=			re.findall(R"""\S+\n?"""     ,				UpperCamelCase__       )

    for token in words:
      split_tokens.extend(list(self.bpe(UpperCamelCase__       ).split(""" """       )       )       )
    return split_tokens
  def 				_lowercase				(					self     :					Dict     ,				UpperCamelCase__     :					str       )     ->      int:







    """simple docstring"""






    __magic_name__								=			token.lower()
    return self.encoder.get(UpperCamelCase__     ,				self.encoder.get(self.unk_token       )       )
  def 				_lowercase				(					self     :					Union[str, Any]     ,				UpperCamelCase__     :					int       )     ->      str:







    """simple docstring"""






    return self.decoder.get(UpperCamelCase__     ,				self.unk_token       )
  def 				_lowercase				(					self     :					Tuple     ,				UpperCamelCase__     :					List[str]       )     ->      str:







    """simple docstring"""






    __magic_name__								=			""" """.join(UpperCamelCase__       ).replace("""@@ """     ,				""""""       ).strip()
    return out_string





  def 				_lowercase				(					self     :					Optional[Any]     ,				UpperCamelCase__     :					str     ,				UpperCamelCase__     :					Optional[str] = None       )     ->      Tuple[str]:







    """simple docstring"""






    if not os.path.isdir(UpperCamelCase__       ):
      logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''       )
      return
    __magic_name__								=			os.path.join(
        UpperCamelCase__     ,				(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]       )
    __magic_name__								=			os.path.join(
        UpperCamelCase__     ,				(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]       )

    with open(UpperCamelCase__     ,				"""w"""     ,				encoding="""utf-8"""       ) as f:
      f.write(json.dumps(self.encoder     ,				indent=2     ,				sort_keys=UpperCamelCase__     ,				ensure_ascii=UpperCamelCase__       ) + """\n"""       )

    __magic_name__								=			0
    with open(UpperCamelCase__     ,				"""w"""     ,				encoding="""utf-8"""       ) as writer:
      writer.write("""#version: 0.2\n"""       )
      for bpe_tokens, token_index in sorted(self.bpe_ranks.items()     ,				key=lambda UpperCamelCase__       : kv[1]       ):
        if index != token_index:
          logger.warning(
              F'''Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'''
              """ Please check that the tokenizer is not corrupted!"""       )
          __magic_name__								=			token_index
        writer.write(""" """.join(UpperCamelCase__       ) + """\n"""       )
        index += 1

    return vocab_file, merge_file



from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__lowerCAmelCase     :	Union[str, Any]       			=  {
    'configuration_informer': [
        'INFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'InformerConfig',
    ],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCAmelCase     :	Optional[Any]       			=  [
        'INFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
        'InformerForPrediction',
        'InformerModel',
        'InformerPreTrainedModel',
    ]


if TYPE_CHECKING:
    from .configuration_informer import INFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, InformerConfig

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_informer import (
            INFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            InformerForPrediction,
            InformerModel,
            InformerPreTrainedModel,
        )

else:
    import sys

    __lowerCAmelCase     :	List[str]       			=  _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

